How To Outpace AI-Scale Exposure: Rethinking Security Architecture

Overview

AI is expanding the attack surface and accelerating vulnerability discovery and exploitation across applications, infrastructure, software supply chains, and AI systems. Security teams face more findings and less time to act. What’s the fastest, simplest, most cost-effective way to get more from the tools, processes, and investments they already trust?

Join security experts, for a practical discussion about a new architectural choice: an independent, agentic security control plane. You will hear how this layer connects your existing tools, unifies findings, applies consistent risk context, and coordinates remediation across best-of-breed tools and security platforms.

The speakers will explore how separating the control plane from the data plane preserves customer choice and creates consistency across the security stack. Enterprise examples will illustrate how teams can reduce noise, prioritize meaningful risk, and accelerate remediation without making vendor consolidation a prerequisite.

You will learn:
• Why AI-scale exposure requires a new approach to security architecture.
• How the data plane and control plane serve different roles and work together.
• How an independent control plane helps you get more value from existing tools and investments.
• Where agentic automation can accelerate prioritization and remediation, and where human oversight matters.
• What enterprise examples reveal about putting this architectural model into practice.
• How to compare architectural options based on implementation effort, cost, time to value, and security outcomes.